INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK

Haris M. Khalid, Rajamani Doraiswami, Lahouari Cheded

2009

Abstract

An intelligent diagnostic scheme using sensor network for incipient faults is proposed using a holistic approach which integrates model-, fuzzy logic-, neural network- based schemes. In case the system is highly non-linear and there are enough training data available, a neural network based scheme is preferred; where the rules relating the input and output can be derived, a Fuzzy-logic approach is chosen; and where a model is available, a linearized model is employed. These three schemes are integrated sequentially ensuring thereby that critical information about the presence or absence of a fault is monitored in the shortest possible time, and the complete status regarding the fault is unfolded in time. The proposed scheme is evaluated extensively on simulated examples and on a physical system exemplified by a benchmarked laboratory-scale two-tank system to detect and isolate faults including sensor, actuator and leakage ones.

Paper Citation

in Harvard Style

M. Khalid H., Doraiswami R. and Cheded L. (2009). INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-99-9, pages 121-128. DOI: 10.5220/0002165201210128

in Bibtex Style

@conference{icinco09,
author={Haris M. Khalid and Rajamani Doraiswami and Lahouari Cheded},
title={INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2009},
pages={121-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002165201210128},
isbn={978-989-8111-99-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - INTELLIGENT FAULT DIAGNOSIS USING SENSOR NETWORK
SN - 978-989-8111-99-9
AU - M. Khalid H.
AU - Doraiswami R.
AU - Cheded L.
PY - 2009
SP - 121
EP - 128
DO - 10.5220/0002165201210128